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ORIGINAL RESEARCH article

Front. Artif. Intell.
Sec. AI in Business
Volume 7 - 2024 | doi: 10.3389/frai.2024.1424924
This article is part of the Research Topic Business Transformation through AI-enabled Technologies View all articles

A Methodology for Planning, Implementation and Evaluation of Skills Intelligence Management -Results of a Design Science Project in Technology Organisations

Provisionally accepted
Kadri-Liis Kusmin Kadri-Liis Kusmin *Peeter Normak Peeter Normak Tobias Ley Tobias Ley
  • Tallinn University, Tallinn, Estonia

The final, formatted version of the article will be published soon.

    In response to the evolving requirements of the labour market amidst digital transformation, skills intelligence plays a critical role in informed decision-making and adaptability. Novel technologies such as Big Data, Machine Learning, and Artificial Intelligence have great potential for improving skills intelligence. This study bridges the gap between theory and practice by designing a novel software artefact for skills intelligence management. The artefact integrates a detailed framework for identifying skills intelligence elements, an assessment instrument, and an implementation methodology. Demonstrated in 11 organisations, feedback from interviews, focus group sessions, and observations (N = 19) indicated that the artefact serves as a feasible starting point for implementing or systematising skills intelligence management. Participants provided suggestions for improvement but agreed that the systematic approach enhances skills intelligence data collection and quality, facilitating the application of advanced technologies. Additionally, the study contributes a set of principles for effective skills intelligence management, fostering a broader conversation around this critical topic.

    Keywords: skills intelligence, skills instability, Organisation management, Organisational communication, evidence-based decision making, decision support system

    Received: 28 Apr 2024; Accepted: 19 Jul 2024.

    Copyright: © 2024 Kusmin, Normak and Ley. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Kadri-Liis Kusmin, Tallinn University, Tallinn, Estonia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.